Monday
January 24
4:00 - 5:00 PM 
Kelley 1001

Beth Plale
Associate Professor
School of Informatics and Computing
Indiana University


Metadata and Provenance Collection and Representation in eScience: Antecedent 
to Scientific Data Preservation

There is significant attention today to the sharing of scientific data now and 
into the future. But scientific data is highly contextual. That is, to 
understand and use the data requires considerable contextual information. When 
sharing is between researchers that know one another, that context is conveyed 
verbally and through social clues. When the distance between researchers grows, 
the context must accompany the data in less ephemeral forms. In this talk I 
describe our efforts at the automatic collection of metadata and provenance for 
purposes of capturing context of scientific data. In particular we have 
developed the XMC Cat metadata catalog that actively collects and logs metadata 
during experiment execution. XMC Cat is a standalone web services persistent 
service that can work with back end storage resources to augment access to 
scientific data. The Karma provenance collection tool is the platform around 
which we are studying provenance collection in computer science a
 pplications and earth science applications. These two data sources provide 
critical information to form what we call the "preservation object", which 
encodes the contextual information needed to share scientific data.


Biography

Beth Plale is Director of the Data To Insight Center and is an Associate 
Professor of Computer Science in the School of Informatics and Computing 
Indiana University Bloomington. Professor Plale has a strong research interest 
in metadata and provenance of digital scientific data particularly for purposes 
of long term preservation and focuses on "the first mile" where collection is 
automatic and close to the generation source. Plale is deeply engaged in 
environmental and atmospheric science research and has substantive experience 
in developing stable and useable scientific cyberinfrastructure.

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